Overfitting describes the phenomenon where a highly predictive model on the training data
generalizes poorly to future observations. It is a common concern when applying machine …

Abstract Group Factor Analysis is a family of methods for representing patterns of correlation
between features in tabular data. Argelaguet et al. identify latent factors within and across …

Disease progression and response to treatments can strongly differ between patients, due to
each individual's unique genetic, environmental and molecular factors. Precision medicine …

Advances in high-throughput technologies such as RNA-seq, metabolomics, proteomics,
and cytometry have enabled the simultaneous collection of vast amounts of high …